Modeling human mobility responses to the large-scale spreading of infectious diseases.
Modeling human mobility responses to the large-scale spreading of infectious diseases.
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DOI:
10.1038/srep00062
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发表时间:
2011
影响因子:
4.6
通讯作者:
Vespignani, Alessandro
中科院分区:
文献类型:
--
作者:
Meloni, Sandro;Perra, Nicola;Arenas, Alex;Gomez, Sergio;Moreno, Yamir;Vespignani, Alessandro
Current modeling of infectious diseases allows for the study of realistic scenarios that include population heterogeneity, social structures, and mobility processes down to the individual level. The advances in the realism of epidemic description call for the explicit modeling of individual behavioral responses to the presence of disease within modeling frameworks. Here we formulate and analyze a metapopulation model that incorporates several scenarios of self-initiated behavioral changes into the mobility patterns of individuals. We find that prevalence-based travel limitations do not alter the epidemic invasion threshold. Strikingly, we observe in both synthetic and data-driven numerical simulations that when travelers decide to avoid locations with high levels of prevalence, this self-initiated behavioral change may enhance disease spreading. Our results point out that the real-time availability of information on the disease and the ensuing behavioral changes in the population may produce a negative impact on disease containment and mitigation.
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影响因子:
3.9
作者:
Eames, Ken T. D.
通讯作者:
Eames, Ken T. D.
DOI:
10.1073/pnas.0810762106
发表时间:
2009-04-21
影响因子:
11.1
作者:
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通讯作者:
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影响因子:
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作者:
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通讯作者:
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影响因子:
4.3
作者:
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通讯作者:
Codeço CT
影响因子:
8.6
作者:
Colizza, Vittoria;Vespignani, Alessandro
通讯作者:
Vespignani, Alessandro